The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market
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The topological properties of interbank networks have been discussed widely in the literature mainly because of their relevance for systemic risk. Here we propose to use the Stochastic Block Model to investigate and perform a model selection among several possible two block organizations of the network: these include bipartite, core-periphery, and modular structures. We apply our method to the e-MID interbank market in the period 2010–2014 and we show that in normal conditions the most likely network organization is a bipartite structure. In exceptional conditions, such as after LTRO, one of the most important unconventional measures by ECB at the beginning of 2012, the most likely structure becomes a random one and only in 2014 the e-MID market went back to a normal bipartite organization. By investigating the strategy of individual banks, we explore possible explanations and we show that the disappearance of many lending banks and the strategy switch of a very small set of banks from borrower to lender is likely at the origin of this structural change.
KeywordsFinancial networks Core-periphery Bipartite networks Community detection Money markets
Authors acknowledge partial support by the grant SNS13LILLB ”Systemic risk in financial markets across time scales”. This work is supported by the European Communitys H2020 Program under the scheme INFRAIA-1-2014-2015: Research Infrastructures, grant agreement #654024 SoBigData: Social Mining and Big Data Ecosystem (http://www.sobigdata.eu). Authors also thanks Fabio Caccioli, Thomas Lux, and Daniele Tantari for useful discussions.
- Cont R, Moussa A, Santos EB (2012) Network structure and systemic risk in banking systems. In: Fouque JP, Langsam J (eds) Shape handbook of systemic risk. Cambridge University Press, CambridgeGoogle Scholar
- Craig B, Von Peter G (2014) Interbank tiering and money center banks. J Financ Int 23(3):322–347Google Scholar
- Erdös P, Rényi A (1960) On the evolution of random graphs. Publ Math Inst Hung Acad Sci 5:17Google Scholar
- Fricke D, Finger K, Lux T (2013) On assortative and disassortative mixing in scale-free networks: the case of interbank credit networks. Kiel Working Paper, No. 1830Google Scholar
- Gabrieli S, George C-P (2014) A network view on interbank market freezes. Deutsche Bundesbank discussion paper No 44/2014Google Scholar
- in ’t Veld D, van Lelyveld I (2014) Finding the core: network structure in interbank markets. J Bank Financ 49:27–40Google Scholar
- Kapar B, Iori G, Olmo J (2015) Bank characteristics and the interbank money market: a distributional approach. Stud Nonlinear Dyn Econom 19:249283Google Scholar
- Lip SZW (2011) A fast algorithm for the discrete core/periphery bipartitioning problem. arXiv preprint arXiv:1102.5511